adrinorosario / irises-classification

Machine Learning models to classify Irises into their respective species category through supervised learning,

Iris Classification

A Machine Learning project that classifies the Iris flowers into their respective three species- Setosa, Versicolor and Virginica.

The project uses Scikit Learn, a Python machine learning library, as well as Pandas for data analysis, Numpy for handling the arrays, Seaborn and Matplotlib for data visualisation.

I have experimented with four algorithms to create models that classify the species accordingly through supervised learning: K Nearest Neighbor, Support Vector Machine, Decision Tree and Stochastic Gradient Descent. Each models have varied levels of accuracy.